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- Tasks: Lead exciting data projects, from design to delivery, while mentoring junior consultants.
- Company: Join a leading boutique consultancy known for its skilled data professionals and impactful solutions.
- Benefits: Enjoy a competitive salary, annual bonuses, private medical, pension, and flexible remote work options.
- Why this job: Make a real business impact while learning from industry experts in a dynamic environment.
- Qualifications: Experience in data engineering, client-facing roles, and strong technical skills in various data tools required.
- Other info: This hybrid role requires occasional office visits in London and Surrey.
The predicted salary is between 48000 - 72000 £ per year.
Do you have strong hands-on technical data engineering skills? Have you worked across the full end-to-end lifecycle of data projects? Have you delivered value-adding data solutions that make a true business impact? If the answer to these questions is YES, then this leading boutique data & insights consultancy would be a perfect home for you!
This consultancy is seeking a driven Senior Data Engineering Consultant who can bring a blend of functional and hands-on technical data experience to join their practice. This practice is made up of some of the most competent and highly skilled data professionals in the market, and you will get the opportunity to learn from some of the best.
In this client-facing role, you will get to work on and lead exciting and complex data projects for various customers. Projects can vary in size and complexity, and you will take ownership of deliveries; gathering requirements, understanding business problems, designing and building solutions, reporting and analysis through to go-live and training. You will have plenty of opportunity to flex your broad, hands-on, data skills to help harness solutions and solve problems, and you will have the opportunity to witness the change and impact your work has on the client.
Responsibilities will include:
- Building and implementing technical data solutions for customers using a variety of different data tools and platforms
- Consulting with clients on approach, and suitable technologies
- Technical project leadership, requirements gathering, delivery and documentation
- Writing code and building solutions
- Managing junior consultants on deliveries
What is required?
To be considered, you will be a Data Consultant or Data Engineer who has a track record of delivering technical data solutions, ideally in a client facing consultancy environment. You will have a strong hands-on technical skillset spanning data engineering, data integration and data migration and will be adaptable, able to work with different tools and technologies, depending upon the client and project needs.
You will possess strong stakeholder engagement and management skills and will be able to evidence where you have led or at least played a key role in the delivery of data solutions, managing projects and mentoring or overseeing the work of more junior colleagues. You will bring experience in designing data solutions, writing code, and documentation, and must have strong skills in tools including but not limited to:
- MS Fabric stack
- Databricks
- Azure
- SQL
- Tableau / Power BI
A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle OBIEE and/or Oracle Analytics Cloud is desirable.
A self-starter, you will also need excellent communication and presentation skills.
Rewards
A competitive salary of £60,000-£80,000 is on offer (depending on your level of experience) as well as an annual bonus of £5k-£7k (paid quarterly), private medical, pension (up to 5% matched) and other perks such as a mobile phone allowance.
This is a hybrid role that offers lots of flexibility to work remotely, but visits to the office in London are required 1-2 times per week (as well as occasional visits to the office in Surrey). This consultancy has big ambitions to grow, so if you are a Senior Data Engineering Consultant and want to work alongside some of the industry’s best on some exciting client projects, then this could be the challenge you are seeking!
Senior Data Engineering Consultant employer: Fynity
Contact Detail:
Fynity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineering Consultant
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as MS Fabric stack, Databricks, and AzureSQL. Having hands-on experience or projects showcasing these technologies will give you a significant edge during interviews.
✨Tip Number 2
Prepare to discuss your previous client-facing experiences in detail. Highlight how you've engaged with stakeholders, gathered requirements, and delivered data solutions that made a tangible impact on the business.
✨Tip Number 3
Showcase your leadership skills by preparing examples of how you've managed junior consultants or led project teams. This will demonstrate your ability to take ownership and mentor others, which is crucial for this role.
✨Tip Number 4
Be ready to discuss your adaptability and willingness to learn new technologies. The consultancy values tech curiosity, so share instances where you've quickly picked up new tools or methodologies to solve problems effectively.
We think you need these skills to ace Senior Data Engineering Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on technical data engineering skills and experience with the full end-to-end lifecycle of data projects. Emphasise any client-facing roles and specific technologies you've worked with, such as MS Fabric, Databricks, or Azure.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data engineering and how your previous experiences align with the responsibilities outlined in the job description. Mention specific projects where you delivered value-adding data solutions.
Showcase Your Technical Skills: Be sure to include a section in your application that lists your technical skills relevant to the role. Highlight your proficiency in tools like Azure Data Factory, RedShift, and any experience with data modelling and IT architecture.
Prepare for Potential Interviews: While this is about the written application, it's good to prepare for interviews by thinking about examples from your past work that demonstrate your stakeholder engagement and project leadership skills. Be ready to discuss how you've mentored junior colleagues and led data solution deliveries.
How to prepare for a job interview at Fynity
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with data engineering tools and platforms. Highlight specific projects where you implemented technical solutions, and be ready to explain the technologies you used, such as MS Fabric, Databricks, or Azure SQL.
✨Demonstrate Your Project Leadership
Since this role involves leading complex data projects, share examples of how you've managed project deliveries in the past. Discuss your approach to gathering requirements, designing solutions, and mentoring junior consultants to showcase your leadership abilities.
✨Engage with Stakeholders
Strong stakeholder engagement is crucial for this position. Prepare to talk about your experience in consulting with clients, understanding their business problems, and how you’ve effectively communicated technical concepts to non-technical stakeholders.
✨Emphasise Your Adaptability
The consultancy values adaptability in using different tools and technologies. Be ready to discuss instances where you had to quickly learn new skills or adapt to changing project needs, demonstrating your tech curiosity and willingness to grow.
